Self-similarity and stable clustering in a family of scale-free cosmologies

TL;DR

This study investigates non-linear gravitational clustering in scale-free cosmologies, demonstrating that stable clustering accurately models the non-linear correlation function across various parameters, with implications for understanding cosmic structure formation.

Contribution

It extends previous work by analyzing a family of scale-free models with different parameters, confirming stable clustering's validity and exploring its limitations in non-linear regimes.

Findings

Self-similarity observed in all cases down to a decreasing lower cut-off.

Non-linear correlation functions fit well with a power-law consistent with theoretical predictions.

Stable clustering approximates non-linear clustering effectively, especially for certain exponents.

Abstract

We study non-linear gravitational clustering from cold gaussian power-law initial conditions in a family of scale-free EdS models, characterized by a free parameter $\kappa$ fixing the ratio between the mass driving the expansion and the mass which clusters. As in the "usual" EdS model, corresponding to $\kappa=1$, self-similarity provides a powerful instrument to delimit the physically relevant clustering resolved by a simulation. Likewise, if stable clustering applies, it implies scale-free non-linear clustering. We derive the corresponding exponent $\gamma_{sc} (n, \kappa)$ of the two point correlation function. We then report the results of extensive N-body simulations, of comparable size to those previously reported in the literature for the case $\kappa=1$, and performed with an appropriate modification of the GADGET2 code. We observe in all cases self-similarity in the two point correlations, down to a lower cut-off which decreases monotonically in time in comoving coordinates. The self-similar part of the non-linear correlation function is fitted well in all cases by a single power-law with an exponent in good agreement with $\gamma_{sc} (n, \kappa)$. Our results thus indicate that stable clustering provides an excellent approximation to the non-linear correlation function over the resolved self-similar scales, at least down to $\gamma_{sc} (n, \kappa) \approx 1$, corresponding to the case $n=-2$ for $\kappa=1$. We conclude, in contrast notably with the results of Smith et al. (2003), that a clear identification of the breakdown of stable clustering in self-similar models - and the possible existence of a "universal" region in which non-linear clustering becomes independent of initial conditions - remains an important open problem, which should be addressed further in significantly larger simulations.